Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- University of Nottingham
- University of Oxford
- ; Cranfield University
- ; The University of Manchester
- ; Swansea University
- ; The University of Edinburgh
- ; University of Leeds
- ; University of Nottingham
- ; University of Reading
- ; University of Southampton
- Abertay University
- University of Cambridge
- University of Newcastle
- University of Sheffield
- ; Newcastle University
- ; University of Bradford
- ; University of Cambridge
- ; University of Greenwich
- ; University of Oxford
- ; University of Stirling
- ; University of Surrey
- ; University of Warwick
- Heriot Watt University
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Liverpool
- Utrecht University
- 19 more »
- « less
-
Field
-
Appropriate computational skills and knowledge of programming languages (Python, C++, etc.) Experience with Machine and Deep Learning models and software (Keras, Scikit-Learn, Convolutional Neural Networks, etc
-
. Despite some success stories of the use of ultrasound/AE-based technologies for CM of low-speed bearings, high investment cost for hardware and software is the main bottleneck in adopting these technologies
-
business datasets (e.g. ORBIS, Foreign Direct investment Data - UNCTAD) and appropriate experience with statistical software (e.g. Stata, R, Python). They will have a good understanding of, and interest in
-
statistical and/or analytical software packages (e.g., SPSS, R, Tableau, Power BI, etc). How to apply Interested applicants should contact Dr. Stefan Birkett (s.birkett@mmu.ac.uk ) for an informal discussion
-
to state-of-the-art laboratories, hardware/software resources, and design facilities, supporting AI-powered electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health
-
and manage independent research • Ability to set research goals, be self-motivated and proactive • A keen eye for visual presentation, software design, and in writing clear, concise, elegant code
-
experience with force spectroscopy (e.g. optical tweezers, magnetic tweezers, or atomic force microscopy) or single-molecule fluorescence methodologies. • Strong skills in hardware-software interfacing
-
on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in
-
student will work closely with experts at national spectroscopy and imaging facilities to deliver scientific software applicable to experimental imaging data. Project Aims The aim of this project is to
-
driven research Maths competency and experience with statistics in research Software competency: ImageJ, Matlab, Graphpad Prism, R Evidence of Github use An interest in cardiovascular physiology